We introduce a model of electoral competition with office-motivated candidates who are exogenously committed to particular positions on some issues, while they choose positions for the remaining issues. A position is majority-efficient if a candidate cannot make a majority of the electorate...

This paper analyses a model in which two groups repeatedly compete with each other for a prize in every time period. We assume that there is a status quo bias: if there is a fight today, yesterday's winner is in a stronger position than the other group. Hence, a change of the status quo has...

We consider a society that has to elect an official who provides a public service for the citizens. Potential candidates differ in their competence and every potential candidate has private information about his opportunity cost to perform the task of the elected official. We develop a new...

Consider a setting in which several groups of individuals with common interests (“clubs”) compete with each other for recognition by other individuals. Depending on the context, recognition may be expressed by these other individuals joining a club, or choosing one club to admire. Clubs...

We introduce a general framework in which politicians choose a (possibly infinite) sequence of binary policies. The two competing candidates are exogenously committed to particular actions on a subset of these issues, while they can choose any policy for the remaining issues to maximize their...

Many political commentators diagnose an increasing polarization of the U.S. electorate into two opposing camps. However, in standard spatial voting models, changes in the political preference distribution are irrelevant as long as the position of the median voter does not change. We show that...

We analyze a model in which agents have to make a binary choice under incomplete information about the state of the world, but also care about coordination with other agents who have the same problem. In some of these situations, the larger the share choosing the same alternative, the better off...